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Researcher · University of Ottawa · Canada

Kevin Ryczko

Kevin Ryczko publishes mostly in Materials Chemistry, Computational Theory and Mathematics and Molecular Biology, on topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods and Protein Structure and Dynamics.

ORCID 0000-0001-6933-3856 OpenAlex
World rank
#2,260,942
of 7,710,434 ranked researchers
Rank in Canada
#74,508
of 183,316
Works
36
Citations
445
Citations per work
12.4
h-index
10
i10-index 10Top 69% in Materials Chemistry
Kevin Ryczko

What does Kevin Ryczko research?

Kevin Ryczko's work is mostly in Materials Science (36%), Computer Science (18%), Biochemistry, Genetics and Molecular Biology (11%).

Physical Sciences: 24 works · 66.3% of their workMaterials Science: 13 works · 35.9% of their workMaterials Chemistry: 13 works · 35.9% of their workComputer Science: 7 works · 18.5% of their workComputational Theory and Mathematics: 4 works · 10.9% of their workArtificial Intelligence: 3 works · 7.6% of their workPhysics and Astronomy: 3 works · 7.6% of their workAtomic and Molecular Physics, and Optics: 3 works · 7.6% of their workChemical Engineering: 2 works · 4.3% of their workCatalysis: 2 works · 4.3% of their workEverything else: 8 works · 22.8% of their workLife Sciences: 4 works · 10.9% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 10.9% of their workMolecular Biology: 4 works · 10.9% of their workTHEIR WORKKevin Ryczko36works
Life Sciences11%Physical Sciences66%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Materials Science1335.9%
    2. Computer Science718.5%
    3. Physics and Astronomy37.6%
    4. Chemical Engineering24.3%
  2. Everything else822.8%
    1. Biochemistry, Genetics and Molecular Biology410.9%
  1. 1Materials Chemistry36% of their works
  2. 2Computational Theory and Mathematics11% of their works
  3. 3Molecular Biology11% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Atomic and Molecular Physics, and Optics8% of their works
  6. 6Catalysis4% of their works

Research topics

Which keywords describe Kevin Ryczko's research?

The keywords of their largest research topics: Machine Learning, Molecular Dynamics, High-Throughput, Materials Informatics, Molecular Docking, Virtual Screening, Protein and Structure.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Machine Learning332 topics
  2. Molecular Dynamics302 topics
  3. High-Throughput231 topic
  4. Materials Informatics231 topic
  5. Molecular Docking101 topic
  6. Virtual Screening101 topic
  7. Protein71 topic
  8. Structure71 topic
  9. Neural Networks51 topic
  10. Self-Organizing Maps51 topic
  11. Catalysis41 topic
  12. Crystallography41 topic
  13. Dehydrogenation41 topic
  14. Powder Diffraction41 topic
  15. Density Functional Theory31 topic
  16. Dispersion Correction31 topic
  17. Electrocatalysis31 topic
  18. Energy Conversion31 topic

Where does Kevin Ryczko work?

Kevin Ryczko's main affiliation in the publication record is University of Ottawa, Canada.

How many publications and citations does Kevin Ryczko have?

OpenAlex counts 36 works and 445 citations for Kevin Ryczko, an h-index of 10, ranking #2,260,942 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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